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Paper Citation Record · LEDGER

Domain Randomization via Entropy Maximization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.01885.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.01885 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:30:08.890438Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T09:23:24.976672Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a7b2837b-8dbb-4975-97a6-29faca3685bb · inbound

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills cites this paper.

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills Domain Randomization via Entropy Maximization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T14:30:08.890438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:30:08.890438Z digest=sha256:a0c97cadd897da712d3a3c884a6acf51d92dde6fccc7ca95e9300a3a7d0d55a3

Observation a7d09495-6b85-43a4-b46d-889e013f183d · inbound

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning cites this paper.

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Domain Randomization via Entropy Maximization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T11:31:10.742814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:31:10.742814Z digest=sha256:e9e6759982159c78cc2b8eff1a122c72123b54586d53c289ab34f2f65b7a9127

Observation 2054f665-bc14-4e12-9075-4d97de8575e4 · inbound

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning cites this paper.

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Domain Randomization via Entropy Maximization

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:27.923135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:37:27.923135Z digest=sha256:87da3baba5042f1992d3e0d650a6758cae5e830c8ddf1f6ed7d3b499e5e73e2e

Observation fe750302-087f-4822-adef-d5d0585b47dc · inbound

Trajectory-based actuator identification via differentiable simulation cites this paper.

Trajectory-based actuator identification via differentiable simulation Domain Randomization via Entropy Maximization

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:05.028756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:22:25.434666Z digest=sha256:2d214a4b79a628398312e3b0b5a8010c4b5ac0f0f880fc1478a79a7a1e3dac08

Observation ba1b99cf-0891-4284-a3cf-8d53e675206c · inbound

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation cites this paper.

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation Domain Randomization via Entropy Maximization

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:23:24.978270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T09:23:20.788617Z digest=sha256:7d35298564d822a50ca39eac040ede9b25da8e97ffad2173e1a4084f88bea04b

Observation 22e305e5-0e16-4254-9213-caf5d3708330 · inbound

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation cites this paper.

Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation Domain Randomization via Entropy Maximization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-14T18:52:37.718635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T18:52:37.718635Z digest=sha256:958716bec90319dca7f7eb3a95dd0bd788c7bc4fbeabdde104eb638b1354dba3